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Bielik, M., Schneider, S., Kuliga, S., Griego, D., Ojha, V. ORCID: https://orcid.org/0000-0002-9256-1192, König, R., Schmitt, G. and Donath, D. (2019) Examining trade-offs between social, psychological, and energy potential of urban form. ISPRS International Journal of Geo-Information, 8 (2). 52. ISSN 2220-9964 doi: https://doi.org/10.3390/ijgi8020052

Boschi, R. and Lucarini, V. ORCID: https://orcid.org/0000-0001-9392-1471 (2019) Water pathways for the Hindu-Kush-Himalaya and analysis of three flood events. Atmosphere, 10 (9). 489. ISSN 2073-4433 doi: https://doi.org/10.3390/atmos10090489

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Carlu, M., Ginelli, F., Lucarini, V. ORCID: https://orcid.org/0000-0001-9392-1471 and Politi, A. (2019) Lyapunov analysis of multiscale dynamics: the slow bundle of the two-scale Lorenz 96 model. Nonlinear Processes in Geophysics, 26 (2). pp. 73-89. doi: https://doi.org/10.5194/npg-26-73-2019

Cullen, M. J. P., Kuna, T., Pelloni, B. and Wilkinson, M. (2019) The Stability Principle and global weak solutions of the free surface semi-geostrophic equations in geostrophic coordinates. Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, 475 (2229). 20180787. ISSN 1471-2946 doi: https://doi.org/10.1098/rspa.2018.0787

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Galfi, V. M., Lucarini, V. ORCID: https://orcid.org/0000-0001-9392-1471 and Wouters, J. ORCID: https://orcid.org/0000-0001-5418-7657 (2019) A large deviation theory-based analysis of heat waves and cold spells in a simplified model of the general circulation of the atmosphere. Journal of Statistical Mechanics: Theory and Experiment. 033404. ISSN 1742-5468 doi: https://doi.org/10.1088/1742-5468/ab02e8

Gómez-Leal, I., Kaltenegger, L., Lucarini, V. ORCID: https://orcid.org/0000-0001-9392-1471 and Lunkeit, F. (2019) Climate sensitivity to ozone and its relevance on the habitability of Earth-like planets. Icarus, 321. pp. 608-618. ISSN 0019-1035 doi: https://doi.org/10.1016/j.icarus.2018.11.019

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Hu, G. ORCID: https://orcid.org/0000-0003-4305-3658, Bodai, T. and Lucarini, V. ORCID: https://orcid.org/0000-0001-9392-1471 (2019) Effects of stochastic parametrization on extreme value statistics. Chaos: An Interdisciplinary Journal of Nonlinear Science, 29 (8). 083102. ISSN 1089-7682 doi: https://doi.org/10.1063/1.5095756

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Lembo, V., Lunkeit, F. and Lucarini, V. ORCID: https://orcid.org/0000-0001-9392-1471 (2019) TheDiaTo (v1.0) – a new diagnostic tool for water, energy and entropy budgets in climate models. Geoscientific Model Development, 12 (8). pp. 3805-3834. ISSN 1991-9603 doi: https://doi.org/10.5194/gmd-12-3805-2019

Lembo, V., Messori, G., Graversen, R. and Lucarini, V. ORCID: https://orcid.org/0000-0001-9392-1471 (2019) Spectral decomposition and extremes of atmospheric meridional energy transport in the Northern Hemisphere midlatitudes. Geophysical Research Letters. ISSN 0094-8276 doi: https://doi.org/10.1029/2019GL082105

Lucarini, V. ORCID: https://orcid.org/0000-0001-9392-1471 (2019) Stochastic resonance for nonequilibrium systems. Physical Review E, 100 (6). 062124. ISSN 2470-0045 doi: https://doi.org/10.1103/PhysRevE.100.062124

Lucarini, V. ORCID: https://orcid.org/0000-0001-9392-1471 and Bódai, T. (2019) Transitions across Melancholia States in a climate model: reconciling the deterministic and stochastic points of view. Physical Review Letters, 122 (15). 158701. ISSN 1079-7114 doi: https://doi.org/10.1103/PhysRevLett.122.158701

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Ojha, V. ORCID: https://orcid.org/0000-0002-9256-1192, Abraham, A. and Snášel, V. (2019) Heuristic design of fuzzy inference systems: a review of three decades of research. Engineering Applications of Artificial Intelligence, 85. pp. 845-864. ISSN 0952-1976 doi: https://doi.org/10.1016/j.engappai.2019.08.010

Ojha, V. K. ORCID: https://orcid.org/0000-0002-9256-1192, Griego, D., Kuliga, S., Bielik, M., Bus, P., Schaeben, C., Treyer, L., Standfest, M., Schneider, S., König, R., Donath, D. and Schmitt, G. (2019) Machine learning approaches to understand the influence of urban environments on human’s physiological response. Information Sciences, 474. pp. 154-169. ISSN 0020-0255 doi: https://doi.org/10.1016/j.ins.2018.09.061

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Prettyman, J., Kuna, T. and Livina, V. (2019) Generalized early warning signals in multivariate and gridded data with an application to tropical cyclones. Chaos: An Interdisciplinary Journal of Nonlinear Science, 29 (7). 073105. ISSN 1089-7682 doi: https://doi.org/10.1063/1.5093495